Kernel Machines for Text Classification

  • Catarina Silva
  • Bernardete Ribeiro
Part of the Studies in Computational Intelligence book series (SCI, volume 255)


This chapter details the concept of kernel methods and presents the foundations of two paradigmatic techniques: support vector machines and relevance vector machines. Both are introduced in a text classification perspective and then results and comparisons of their application to benchmark corpora are presented.


Support Vector Machine Support Kernel Method Training Error Relevance Vector Machine Hypothesis Space 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Catarina Silva
    • Bernardete Ribeiro

      There are no affiliations available

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